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  **MLAAD-tiny** is a very small subset of the full [MLAAD](https://huggingface.co/datasets/mueller91/MLAAD) dataset, designed for **education, prototyping, and debugging**.
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- Many teaching environments (e.g. Colab, Kaggle, university notebooks) impose **strict storage limits**, which makes large-scale audio deepfake datasets impractical to use. To address this, we provide **MLAAD-tiny**, a compact yet representative version of MLAAD.
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  ## Download
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  ```
 
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  **MLAAD-tiny** is a very small subset of the full [MLAAD](https://huggingface.co/datasets/mueller91/MLAAD) dataset, designed for **education, prototyping, and debugging**.
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+ Many teaching environments (e.g. Colab, Kaggle, university notebooks -- se [this notebook](https://www.kaggle.com/code/muellermnicolas/audio-deepfake-detection-with-w2v2-and-mlaad-tiny) for example) impose **strict storage limits**, which makes large-scale audio deepfake datasets impractical to use. To address this, we provide **MLAAD-tiny**, a compact yet representative version of MLAAD.
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  ## Download
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  ```